Research on Vital Sign Detection Technology for Rescue Robots after Earthquakes
Haiping Du · Theoretical and Natural Science · 2025
In earthquake and other natural disaster rescue scenarios, rapid and accurate detection of vital signs in trapped individuals is crucial. Traditional manual methods suffer from low efficiency and poor environmental adaptability to harsh environments, seriously impacting the timeliness and effectiveness of rescue operations. Although robot-based post-disaster life detection technologies have made progress, limitations remain such as limited detection distance, high sensitivity to environmental interference, incomplete acquisition of physiological parameters, and high dependence on robot hardware. This study employs bibliometric analysis and typical case studies to systematically examine these limitations. Based on the findings, an innovative multi-sensor fusion scheme is proposed. The research shows that this technology significantly enhances rescue robots’ ability to perceive and locate vital signs, improves rescue efficiency, increases the survival probability of trapped people, and ensures greater safety for rescuers. This study offers a new technical path for earthquake rescue and holds both theoretical and practical value for advancing disaster rescue technology system.